Hands-on experience in clinical, claims, provider, and member data modeling with conceptual, logical, and physical data models
Experience building ETL/ELT pipelines using Azure Data Factory, Databricks, Kafka, Informatica, and DataStage
Skilled in real-time and batch data integration, performance optimization, and secure analytics platform design
Bonus experience with Snowflake, Erwin data modeling, Epic/Cerner EHR systems, and enterprise BI tools (Power BI/Tableau) Candidate Local to Pennsylvania.
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Requirements
15+ Years Data Architect experience with expertise in data lakehouse architecture, Databricks, and enterprise data warehouse platforms
Hands-on experience in clinical, claims, provider, and member data modeling with conceptual, logical, and physical data models
Proficient in Azure/AWS/GCP cloud data platforms, SQL, NoSQL, Python, and PySpark for large-scale healthcare analytics solutions
Experience building ETL/ELT pipelines using Azure Data Factory, Databricks, Kafka, Informatica, and DataStage
Strong knowledge of healthcare interoperability standards (HL7, FHIR, CCD, HIE, USCDI/US Core) and HIPAA-compliant data governance
Skilled in real-time and batch data integration, performance optimization, and secure analytics platform design
Bonus experience with Snowflake, Erwin data modeling, Epic/Cerner EHR systems, and enterprise BI tools (Power BI/Tableau) Candidate Local to Pennsylvania.
Preferred Skills
Experience building ETL/ELT pipelines using Azure Data Factory, Databricks, Kafka, Informatica, and DataStage
Bonus experience with Snowflake, Erwin data modeling, Epic/Cerner EHR systems, and enterprise BI tools (Power BI/Tableau) Candidate Local to Pennsylvania.
]:pointer-events-auto scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]" dir="auto" data-turn-id="request-WEB:3b74dcac-28b1-458f-b67e-c4d0294da3d8-9" data-testid="conversation-turn-20" data-scroll-anchor="true" data-turn="assistant"> 15+ Years Data Architect experience with expertise in data lakehouse architecture, Databricks, and enterprise data warehouse platforms Hands-on experience in clinical, claims, provider, and member data modeling with conceptual, logical, and physical data models Proficient in Azure/AWS/GCP cloud data platforms, SQL, NoSQL, Python, and PySpark for large-scale healthcare analytics solutions Experience building ETL/ELT pipelines using Azure Data Factory, Databricks, Kafka, Informatica, and DataStage Strong knowledge of healthcare interoperability standards (HL7, FHIR, CCD, HIE, USCDI/US Core) and HIPAA-compliant data governance Skilled in real-time and batch data integration, performance optimization, and secure analytics platform design Bonus experience with Snowflake, Erwin data modeling, Epic/Cerner EHR systems, and enterprise BI tools (Power BI/Tableau) Candidate Local to Pennsylvania. #JoinOurTeam #NowHiring #ApplyToday